Introduction to AI and Machine Learning

Week 1: What is AI and Machine Learning?
Introduction to AI
- What is Artificial Intelligence? Examples of AI in daily life.
- Differences between AI, Machine Learning, and Robotics.
- Understanding how AI helps in solving problems.
Exploring AI Applications
- Real-world applications of AI: Virtual assistants, video games, and self-driving cars.
- Simple activities to interact with AI (e.g., chatbots or voice assistants).
Week 2: Basic Concepts of Machine Learning
What is Machine Learning?
- Understanding how machines “learn” from data.
- Introduction to types of machine learning: Supervised, unsupervised, and reinforcement learning.
Hands-on Activity: Pattern Recognition
- Using simple examples to demonstrate pattern recognition.
- Creating a basic program that identifies patterns (e.g., sorting objects by color or shape).
Week 3: Introduction to Data and Algorithms
Understanding Data
- What is data? Different types of data (text, numbers, images).
- How data is used in AI and Machine Learning.
Introduction to Algorithms
- What are algorithms? Simple examples of everyday algorithms (e.g., recipes, directions).
- Creating simple algorithms to solve problems.
Week 4: Training a Machine Learning Model
Supervised Learning
- Introduction to supervised learning: How machines learn from labeled data.
- Exploring datasets: Teaching a model to recognize objects or animals.
Building a Simple ML Model
- Using a kid-friendly platform (e.g., Teachable Machine) to train a simple model.
- Testing and improving the model’s accuracy.
Week 5: Exploring AI Tools and Platforms
Hands-on with AI Tools
- Introduction to AI tools designed for kids (e.g., Scratch with AI extensions, AI for Oceans).
- Creating projects that incorporate AI, such as a game with an AI opponent.
Introduction to Neural Networks
- What are neural networks? Simplified explanation using analogies (e.g., how the brain works).
- Exploring a basic neural network using an interactive tool.
Week 6: Practical AI Projects
Creating a Chatbot
- Introduction to natural language processing (NLP) in AI.
- Using a simple tool to create a chatbot that can answer questions.
AI in Games
- Understanding how AI is used in games.
- Creating a basic game with AI elements (e.g., an AI character that responds to player actions).
Week 7: Ethics and Future of AI
Ethics in AI
- Discussing the importance of ethics in AI: Privacy, bias, and fairness.
- Exploring real-world scenarios and discussing the ethical implications.
The Future of AI
- What does the future hold for AI? Discussing potential future applications.
- Encouraging kids to think about how they might use AI in the future.
Week 8: Final Project and Presentation
Designing an AI Project
- Planning and developing a final AI project that incorporates the concepts learned.
- Implementing the project using a platform or tool suitable for kids.
Presentation and Demonstration
- Presenting the final AI project to the class.
- Demonstrating how the AI model or application works and explaining the process behind it.
Reflection and Next Steps
- Reflecting on what was learned throughout the course.
- Discussing ways to continue learning about AI and Machine Learning.